Automated traffic, including web scrapers and bots, now makes up roughly 51% of web traffic.
Web scraping is the automated process of pulling information from websites. Instead of copying and pasting the details from a web page manually, a software program (often called a web scraper) automatically requests a website’s page, picks out the specific data you need and saves it in a format you can then use or re-use.
You’ll sometimes see web scraping called web data extraction or web data scraping — it’s all the same thing. It’s about using a computer to grab data from websites, rather than relying on people to do it.
Types of Information Gathered
The information gathered through web scraping can be just about anything. For example, it can range from product prices and descriptions, to news articles and headlines, property listings, business details and reviews.
Because much of this information is accessible online, it helps organisations get a better view of what’s going on in their market, what their rivals are up to and how customers are feeling.
Now, in theory, you could do all this manually. But web scraping is much more useful when you automate it.
That’s because automated scrapers can sort through hundreds, thousands or even millions of pages relatively quickly, and can process data far faster than manual collection. To put it simply, web scraping is all about turning unstructured web content into data you can actually use.
How Web Scraping Works
Even though you might find some large, complicated web scraping systems out there, the basic process is straightforward.
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Identify the Target Websites and Data
First, you identify which websites you want to scrape and what information you need from them. That might be a rival’s product listing, a property portal or a news website.
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Determine Pages You Need to Access
Then you need to tell the scraper which pages to grab. You can do that by giving it the direct URL, or by working out where they are through things like pagination or search results.
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Send Requests to the Website
Next, the scraper sends an HTTP request to the website’s server, just like a normal web browser would when you load a page. Some basic scrapers will just get the raw HTML of the page.
However, more advanced ones can actually render JavaScript-heavy pages and load up things like interactive elements and endless scrolling.
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Extract and Store the Data
Once that’s loaded, the scraper pulls out the specific information you need—that’s usually done using something like CSS selectors or XPath expressions. Then it takes the data, tidies it up a bit and saves it in a format that you can use.
Types of Web Scrapers
There are plenty of different kinds of web scrapers out there. Choosing the right one for your needs depends on how big the project is, how tricky it is to get the data out and how important the data is to your business.
Self-Built vs Pre-Built Scrapers
Some organisations build their own scrapers, using programming languages like Python. This gives them a large amount of control over the project and means they can tailor the scraper to the website and the data they need.
Browser Extensions vs Software Scrapers
Browser extension scrapers are the ones that live inside your web browser and usually rely on the click of a button. They are fairly easy to use and perfect for small one-off projects or exploratory tasks, but they’re limited when it comes to scaling and performance.
Cloud-Based vs Local Scrapers
Cloud-based scrapers live on remote servers, offering a lot more in terms of scalability and resilience. They make it a lot easier to manage things like IP rotation, centralised monitoring and distributed workloads—what you often need for big or long-running projects.
Is Web Scraping Legal?
Web scraping itself isn’t inherently illegal, but legality depends on how the data is collected and how it’s used. Factors like whether the data is publicly available, the website’s terms and conditions, applicable data-protection laws and the nature of the data being collected all come into play.
When it comes to managing risks, you’ve got to consider the website terms of service, relevant laws and regulations, and the security of your data. Some organisations also consider cyber insurance as part of their approach to managing financial exposure related to data incidents, regulatory disputes or operational disruption.
The Challenges and Risks of Web Scraping
Scraping at scale comes with a handful of challenges. As website layouts change, your scrapers might:
- Break when page layouts change
- Be blocked by Anti-bot systems and CAPTCHAs
- Hit IP blocksor rate limits
Keeping data quality up is not easy, especially when the source is changing all the time.
Legal and ethical risks must also be managed carefully. Effective web scraping needs ongoing monitoring, governance and technical tweaking rather than just setting something up and leaving it.
Conclusion: Is Web Scraping Right For You?
Web scraping is an essential tool for businesses that need good data fast. Whether you’re looking to help with pricing, market research, lead generation, or even just automating some of your tasks, web scraping helps you make better decisions and get things done faster.
However, successful web scraping requires more than technical tools alone. It demands legal awareness, security controls, and some thought into how you’re doing it.
